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Cited by 3 publications
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References 8 publications
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“…In this case it does not make sense to (fully) use measures from traces that contain that latter activity for predicting an instance where the former activity has already been exectued. Correlations can be mined from the log [27] and be used to select or to weigh the state prediction measures. An assumption in our approach is the independency of the samples, i.e., the bag of measurements.…”
Section: Resultsmentioning
confidence: 99%
“…In this case it does not make sense to (fully) use measures from traces that contain that latter activity for predicting an instance where the former activity has already been exectued. Correlations can be mined from the log [27] and be used to select or to weigh the state prediction measures. An assumption in our approach is the independency of the samples, i.e., the bag of measurements.…”
Section: Resultsmentioning
confidence: 99%
“…All these models assume independence of durations within a process instance, and also between cases. An extension to capture dependence on the history of the current case was introduced in the notion of History dependent stochastic Petri nets [24]. Latter models allow us to capture an often encountered phenomenon in business processes with cycles: the probability to leave a cycle increases with each iteration.…”
Section: Petri Nets and Timementioning
confidence: 99%
“…In contrast to previous approaches that use Petri nets for performance modeling, we allow the model to encode correlations to previous observed values at given stations in the process, i.e., at the transitions. In this sense, the model we propose builds on the one of Schonenberg et al [24], into which we integrate time series concepts such as correlations to previous instances which passed through the same part of the model. This allows us to capture seasonality in durations and decisions.…”
Section: Definition and Semanticsmentioning
confidence: 99%